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Author : Caio Almeida
Publisher :
ISBN 13 :
Total Pages : 62 pages
Book Rating : 4.:/5 (1 download)
Download or read book Nonparametric Tail Risk, Stock Returns and the Macroeconomy written by Caio Almeida and published by . This book was released on 2016 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Lorenzo Camponovo (Wirtschaftswissenschaftler Univ. St. Gallen)
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (956 download)
Download or read book Comments On: Nonparametric Tail Risk, Stock Returns and the Macroeconomy written by Lorenzo Camponovo (Wirtschaftswissenschaftler Univ. St. Gallen) and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Caio Almeida
Publisher :
ISBN 13 :
Total Pages : 58 pages
Book Rating : 4.:/5 (13 download)
Download or read book Extracting Tail Risk from High-Frequency S&P 500 Returns written by Caio Almeida and published by . This book was released on 2020 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper proposes to extract tail risk from a risk-neutral mean-adjusted expected shortfall of high-frequency stock returns. Risk adjustment is based on a nonparametric estimator of the state price density that does not use option prices and relies solely on a stock index returns. This makes the measure methodology applicable to many financial markets with illiquid or nonexistent options. Empirically, the tail risk factor extracted from S &P 500 returns has a 90% correlation with the options-based VIX index and predicts well realized jumps in the stock market index at various frequencies. We document a persistent negative relation between tail risk and one-day ahead returns of several assets classes. Consistent with the crash-insurance property of put options, tail risk predicts positive one-day ahead returns for portfolios long out-of-the-money, short in-the-money put options. An analysis of equity portfolios sorted on exposure to tail risk reveals a premium for bearing such a risk, even after controlling for known and established factors related to cross-sectional variability. This cross-sectional analysis is robust to the inclusion of uncertainty indexes, as well as macroeconomic and volatility measures.
Author : Mathias Külpmann
Publisher : Springer Science & Business Media
ISBN 13 : 3540247653
Total Pages : 233 pages
Book Rating : 4.5/5 (42 download)
Download or read book Irrational Exuberance Reconsidered written by Mathias Külpmann and published by Springer Science & Business Media. This book was released on 2013-03-20 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathias Külpmann presents a framework to evaluate whether the stock market is in line with underlying fundamentals. The new and revised edition offers an up to date introduction to the controversy between rational asset pricing and behavioural finance. Empirical evidence of stock market overreaction are investigated within the paradigms of rational asset pricing and behavioural finance. Although this monograph will not promise the reader to become a millionaire, it offers a road to obtain a deeper understanding of the forces which drive stock returns. It should be of interest to anyone interested in what drives performance in the stock market.
Author : Daniele Massacci
Publisher :
ISBN 13 :
Total Pages : 47 pages
Book Rating : 4.:/5 (13 download)
Download or read book Tail Risk Dynamics in Stock Returns written by Daniele Massacci and published by . This book was released on 2017 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose a new time-varying peaks over threshold model to study tail risk dynamics in equity markets: the laws of motion for the parameters are defined through the score-based approach. We apply the model to daily returns from U.S. size-sorted decile stock portfolios and show that large firm tail risk increases during recessions more than small firms tail risk. Our results are consistent with the granular hypothesis of aggregate fluctuations and we quantify the impact of large firms tail risk shocks on the economy. A measure of tail connectedness is proposed: evidence from international equity markets shows that tail connectedness increases during periods of turmoil.
Author : David Schreindorfer
Publisher :
ISBN 13 :
Total Pages : 57 pages
Book Rating : 4.:/5 (13 download)
Download or read book Macroeconomic Tail Risks and Asset Prices written by David Schreindorfer and published by . This book was released on 2019 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: I document that dividend growth and returns on the aggregate U.S. stock market are more correlated with consumption growth in bad economic times. In a consumption-based asset pricing model with a generalized disappointment averse investor and small, IID consumption shocks, this feature results in a realistic equity premium despite low risk aversion. The model is consistent with the main facts about stock market risk premia inferred from equity index options, remains tightly parameterized, and allows for analytical solutions for asset prices. An extension with non-IID dynamics accounts for excess volatility and return predictability while preserving the model's consistency with option moments.
Author : Turan G. Bali
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (894 download)
Download or read book Hybrid Tail Risk and Expected Stock Returns written by Turan G. Bali and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We introduce a new, hybrid measure of stock return tail covariance risk, motivated by the under-diversified portfolio holdings of individual investors, and investigate its cross-sectional predictive power. Our key innovation is that this covariance is measured across the left tail states of the individual stock return distribution, not across those of the market return as in standard systematic risk measures. We document a positive and significant relation between hybrid tail covariance risk (H-TCR) and expected stock returns, with an annualized premium of 9%, in contrast to the insignificant or negative results for purely stock-specific or systematic tail risk measures.
Author : Kyle Moore
Publisher :
ISBN 13 :
Total Pages : 23 pages
Book Rating : 4.:/5 (13 download)
Download or read book The Cross-Section of Tail Risks in Stock Returns written by Kyle Moore and published by . This book was released on 2013 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates how the downside tail risk of stock returns is differentiated cross-sectionally. Stock returns follow heavy-tailed distributions with downside tail risk determined by the tail shape and scale. If safety-first investors are concerned with sufficiently large downside losses, i.e. have a sufficiently low risk tolerance, then in the equilibrium, assets traded in the same market share a homogeneous tail shape parameter. Furthermore, if tail shapes are homogeneous, the equilibrium prices of assets are differentiated by the scales.
Author : Francesca Loria
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (11 download)
Download or read book Assessing Macroeconomic Tail Risk written by Francesca Loria and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Wayne Ferson
Publisher : MIT Press
ISBN 13 : 0262039370
Total Pages : 497 pages
Book Rating : 4.2/5 (62 download)
Download or read book Empirical Asset Pricing written by Wayne Ferson and published by MIT Press. This book was released on 2019-03-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
Author : Vikas Agarwal
Publisher : Now Publishers Inc
ISBN 13 : 1933019174
Total Pages : 85 pages
Book Rating : 4.9/5 (33 download)
Download or read book Hedge Funds written by Vikas Agarwal and published by Now Publishers Inc. This book was released on 2005 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hedge Funds summarizes the academic research on hedge funds and commodity trading advisors. The hedge fund industry has grown tremendously over the recent years. According to some industry estimates, hedge funds have increased from $39 million in 1990 to about $972 million in 2004 and the total number of hedge funds has gone up from 610 to 7,436 over the same period. At the same time, hedge fund strategies have changed significantly. In 1990 the macro strategy dominated the industry while in 2004 the equity hedge strategy had the largest share of the market. There has also been a shift in the type of investor in hedge funds. In the early 1990's the typical investor was a high net-worth individual investor, today the typical investor is an institutional investor. Thus, the hedge fund market has not only grown tremendously, but the nature of the market has changed. Despite the enormous growth of this industry, there is limited information available on hedge funds. As a result, there is a need for rigorous research from both the investors' and regulators' point of view. Investors need research to better understand their investment and their risk exposure. This research also helps investors recognize the extent of diversification benefits hedge funds offer in combination with investments in traditional asset classes, such as stocks and bonds. Regulators can use this research to identify situations where regulation may be needed to protect investors' interests and to understand the impact hedge funds trading strategies have on the stability of the financial markets. The first part of Hedge Funds summarizes hedge fund performance, including comparisons of risk-return characteristics of hedge funds with those of mutual funds, factors driving hedge fund returns, and persistence in hedge fund performance. The second part reviews research regarding the unique contractual features and characteristics of hedge funds and their influence on the risk-return tradeoffs. The third part reviews the role of hedge funds in a portfolio including the extent of diversification benefits and limitations of standard mean-variance framework for asset allocation. Finally, the authors summarize the research on the biases in hedge fund databases.
Author : Joseph G. Haubrich
Publisher : University of Chicago Press
ISBN 13 : 0226319288
Total Pages : 286 pages
Book Rating : 4.2/5 (263 download)
Download or read book Quantifying Systemic Risk written by Joseph G. Haubrich and published by University of Chicago Press. This book was released on 2013-01-24 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the aftermath of the recent financial crisis, the federal government has pursued significant regulatory reforms, including proposals to measure and monitor systemic risk. However, there is much debate about how this might be accomplished quantitatively and objectively—or whether this is even possible. A key issue is determining the appropriate trade-offs between risk and reward from a policy and social welfare perspective given the potential negative impact of crises. One of the first books to address the challenges of measuring statistical risk from a system-wide persepective, Quantifying Systemic Risk looks at the means of measuring systemic risk and explores alternative approaches. Among the topics discussed are the challenges of tying regulations to specific quantitative measures, the effects of learning and adaptation on the evolution of the market, and the distinction between the shocks that start a crisis and the mechanisms that enable it to grow.
Author : Dunhong Jin
Publisher : International Monetary Fund
ISBN 13 : 1513519492
Total Pages : 46 pages
Book Rating : 4.5/5 (135 download)
Download or read book Swing Pricing and Fragility in Open-end Mutual Funds written by Dunhong Jin and published by International Monetary Fund. This book was released on 2019-11-01 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to prevent runs on open-end mutual funds? In recent years, markets have observed an innovation that changed the way open-end funds are priced. Alternative pricing rules (known as swing pricing) adjust funds’ net asset values to pass on funds’ trading costs to transacting shareholders. Using unique data on investor transactions in U.K. corporate bond funds, we show that swing pricing eliminates the first-mover advantage arising from the traditional pricing rule and significantly reduces redemptions during stress periods. The positive impact of alternative pricing rules on fund flows reverses in calm periods when costs associated with higher tracking error dominate the pricing effect.
Author : Andreas Fagereng
Publisher : International Monetary Fund
ISBN 13 : 1484370066
Total Pages : 69 pages
Book Rating : 4.4/5 (843 download)
Download or read book Heterogeneity and Persistence in Returns to Wealth written by Andreas Fagereng and published by International Monetary Fund. This book was released on 2018-07-27 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: We provide a systematic analysis of the properties of individual returns to wealth using twelve years of population data from Norway’s administrative tax records. We document a number of novel results. First, during our sample period individuals earn markedly different average returns on their financial assets (a standard deviation of 14%) and on their net worth (a standard deviation of 8%). Second, heterogeneity in returns does not arise merely from differences in the allocation of wealth between safe and risky assets: returns are heterogeneous even within asset classes. Third, returns are positively correlated with wealth: moving from the 10th to the 90th percentile of the financial wealth distribution increases the return by 3 percentage points - and by 17 percentage points when the same exercise is performed for the return to net worth. Fourth, wealth returns exhibit substantial persistence over time. We argue that while this persistence partly reflects stable differences in risk exposure and assets scale, it also reflects persistent heterogeneity in sophistication and financial information, as well as entrepreneurial talent. Finally, wealth returns are (mildly) correlated across generations. We discuss the implications of these findings for several strands of the wealth inequality debate.
Author : Elisa Luciano
Publisher : MDPI
ISBN 13 : 3039216244
Total Pages : 224 pages
Book Rating : 4.0/5 (392 download)
Download or read book Risk Analysis and Portfolio Modelling written by Elisa Luciano and published by MDPI. This book was released on 2019-10-16 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.
Author : Ruey S. Tsay
Publisher : John Wiley & Sons
ISBN 13 : 1119013461
Total Pages : 388 pages
Book Rating : 4.1/5 (19 download)
Download or read book An Introduction to Analysis of Financial Data with R written by Ruey S. Tsay and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The author supplies a hands-on introduction to the analysis of financial data using the freely available R software package and case studies to illustrate actual implementations of the discussed methods. The book begins with the basics of financial data, discussing their summary statistics and related visualization methods. Subsequent chapters explore basic time series analysis and simple econometric models for business, finance, and economics as well as related topics including: Linear time series analysis, with coverage of exponential smoothing for forecasting and methods for model comparison Different approaches to calculating asset volatility and various volatility models High-frequency financial data and simple models for price changes, trading intensity, and realized volatility Quantitative methods for risk management, including value at risk and conditional value at risk Econometric and statistical methods for risk assessment based on extreme value theory and quantile regression Throughout the book, the visual nature of the topic is showcased through graphical representations in R, and two detailed case studies demonstrate the relevance of statistics in finance. A related website features additional data sets and R scripts so readers can create their own simulations and test their comprehension of the presented techniques. An Introduction to Analysis of Financial Data with R is an excellent book for introductory courses on time series and business statistics at the upper-undergraduate and graduate level. The book is also an excellent resource for researchers and practitioners in the fields of business, finance, and economics who would like to enhance their understanding of financial data and today's financial markets.
Author : Stefan Nagel
Publisher : Princeton University Press
ISBN 13 : 0691218706
Total Pages : 156 pages
Book Rating : 4.6/5 (912 download)
Download or read book Machine Learning in Asset Pricing written by Stefan Nagel and published by Princeton University Press. This book was released on 2021-05-11 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. In this book, Stefan Nagel examines the promises and challenges of ML applications in asset pricing. Asset pricing problems are substantially different from the settings for which ML tools were developed originally. To realize the potential of ML methods, they must be adapted for the specific conditions in asset pricing applications. Economic considerations, such as portfolio optimization, absence of near arbitrage, and investor learning can guide the selection and modification of ML tools. Beginning with a brief survey of basic supervised ML methods, Nagel then discusses the application of these techniques in empirical research in asset pricing and shows how they promise to advance the theoretical modeling of financial markets. Machine Learning in Asset Pricing presents the exciting possibilities of using cutting-edge methods in research on financial asset valuation.
